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a2edf6a4a9588b3e81830cac3bd8659e12bdf8a2 |
# Mario Maker 2 level plays
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 level plays dataset consists of 1 billion level plays from Nintendo's online service totaling around 20GB of data. The dataset was created using the sel... | TheGreatRambler/mm2_level_played | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
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"license:cc-by-... | 2022-09-18T19:17:04+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1B<n<10B"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Maker... | 2022-11-11T08:05:36+00:00 | [] | [
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| Mario Maker 2 level plays
=========================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 level plays dataset consists of 1 billion level plays from Nintendo's online service totaling around 20GB of data. The dataset was created using the self-hoste... | [
"### How to use it\n\n\nThe Mario Maker 2 level plays dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique play in the level denoted by the 'data\\_id' d... | [
"TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-1B<n<10B #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #regio... | [
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1f06c2b8cd09144b775cd328ed16b2033275cdc8 |
# Mario Maker 2 level deaths
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 level deaths dataset consists of 564 million level deaths from Nintendo's online service totaling around 2.5GB of data. The dataset was created using t... | TheGreatRambler/mm2_level_deaths | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
"task_categories:text-generation",
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"size_categories:100M<n<1B",
"source_datasets:original",
"language:multilingual",
"license:cc-by... | 2022-09-18T19:17:18+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["100M<n<1B"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Make... | 2022-11-11T08:05:52+00:00 | [] | [
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==========================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 level deaths dataset consists of 564 million level deaths from Nintendo's online service totaling around 2.5GB of data. The dataset was created using the sel... | [
"### How to use it\n\n\nThe Mario Maker 2 level deaths dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique death in the level denoted by the 'data\\_id'... | [
"TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-100M<n<1B #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #regi... | [
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0c95c15ed4e4ea278f0fbd57475381eae14eca2b |
# Mario Maker 2 users
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 users dataset consists of 6 million users from Nintendo's online service totaling around 1.2GB of data. The dataset was created using the self-hosted [Mario M... | TheGreatRambler/mm2_user | [
"task_categories:other",
"task_categories:object-detection",
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"language:multilingual",
"license:cc-by-... | 2022-09-18T19:17:35+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Maker... | 2022-11-11T08:04:51+00:00 | [] | [
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| Mario Maker 2 users
===================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 users dataset consists of 6 million users from Nintendo's online service totaling around 1.2GB of data. The dataset was created using the self-hosted Mario Maker 2 api ove... | [
"### How to use it\n\n\nThe Mario Maker 2 users dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique play in the level denoted by the 'data\\_id' done by... | [
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75d9ee5258f795a705fdbfe9fa51e6956df0b71f |
# Mario Maker 2 user badges
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 user badges dataset consists of 9328 user badges (they are capped to 10k globally) from Nintendo's online service and adds onto `TheGreatRambler/mm2_use... | TheGreatRambler/mm2_user_badges | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
"task_categories:text-generation",
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"size_categories:1k<10K",
"source_datasets:original",
"language:multilingual",
"license:cc-by-nc... | 2022-09-18T19:17:51+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1k<10K"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Maker 2... | 2022-11-11T08:05:05+00:00 | [] | [
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| Mario Maker 2 user badges
=========================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 user badges dataset consists of 9328 user badges (they are capped to 10k globally) from Nintendo's online service and adds onto 'TheGreatRambler/mm2\_user'. Th... | [
"### How to use it\n\n\nYou can load and iterate through the dataset with the following code:\n\n\nEach row is a badge awarded to the player denoted by 'pid'. 'TheGreatRambler/mm2\\_user' contains these players.\n\n\nData Structure\n--------------",
"### Data Instances",
"### Data Fields\n\n\nField: pid, Type: ... | [
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44cde6a1c6338d7706bdabd2bbc42182073b9414 |
# Mario Maker 2 user plays
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 user plays dataset consists of 329.8 million user plays from Nintendo's online service totaling around 2GB of data. The dataset was created using the sel... | TheGreatRambler/mm2_user_played | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
"task_categories:text-generation",
"multilinguality:multilingual",
"size_categories:100M<n<1B",
"source_datasets:original",
"language:multilingual",
"license:cc-by... | 2022-09-18T19:18:08+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["100M<n<1B"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Make... | 2022-11-11T08:04:07+00:00 | [] | [
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========================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 user plays dataset consists of 329.8 million user plays from Nintendo's online service totaling around 2GB of data. The dataset was created using the self-hosted... | [
"### How to use it\n\n\nThe Mario Maker 2 user plays dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique play in the level denoted by the 'data\\_id' do... | [
"TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-100M<n<1B #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #regi... | [
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a953a5eeb81d18f6b8dd6c525934797fd2b43248 |
# Mario Maker 2 user likes
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 user likes dataset consists of 105.5 million user likes from Nintendo's online service totaling around 630MB of data. The dataset was created using the s... | TheGreatRambler/mm2_user_liked | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
"task_categories:text-generation",
"multilinguality:multilingual",
"size_categories:100M<n<1B",
"source_datasets:original",
"language:multilingual",
"license:cc-by... | 2022-09-18T19:18:19+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["100M<n<1B"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Make... | 2022-11-11T08:04:21+00:00 | [] | [
"multilingual"
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========================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 user likes dataset consists of 105.5 million user likes from Nintendo's online service totaling around 630MB of data. The dataset was created using the self-host... | [
"### How to use it\n\n\nThe Mario Maker 2 user likes dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique like in the level denoted by the 'data\\_id' do... | [
"TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-100M<n<1B #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #regi... | [
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35e87e12b511552496fa9ccecd601629fa7f2a1c |
# Mario Maker 2 user uploaded
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 user uploaded dataset consists of 26.5 million uploaded user levels from Nintendo's online service totaling around 215MB of data. The dataset was crea... | TheGreatRambler/mm2_user_posted | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
"task_categories:text-generation",
"multilinguality:multilingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:multilingual",
"license:cc-b... | 2022-09-18T19:18:30+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Mak... | 2022-11-11T08:03:53+00:00 | [] | [
"multilingual"
] | TAGS
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===========================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 user uploaded dataset consists of 26.5 million uploaded user levels from Nintendo's online service totaling around 215MB of data. The dataset was created u... | [
"### How to use it\n\n\nThe Mario Maker 2 user uploaded dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique uploaded level denoted by the 'data\\_id' up... | [
"TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #reg... | [
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15ec37e8e8d6f4806c2fe5947defa8d3e9b41250 |
# Mario Maker 2 user first clears
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 user first clears dataset consists of 17.8 million first clears from Nintendo's online service totaling around 157MB of data. The dataset was crea... | TheGreatRambler/mm2_user_first_cleared | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
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"multilinguality:multilingual",
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"source_datasets:original",
"language:multilingual",
"license:cc-b... | 2022-09-18T19:18:41+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Mak... | 2022-11-11T08:04:34+00:00 | [] | [
"multilingual"
] | TAGS
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===============================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 user first clears dataset consists of 17.8 million first clears from Nintendo's online service totaling around 157MB of data. The dataset was creat... | [
"### How to use it\n\n\nThe Mario Maker 2 user first clears dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique first clear in the level denoted by the ... | [
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f653680f7713e6f89eea9fc82bd96cbd498010cc |
# Mario Maker 2 user world records
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 user world records dataset consists of 15.3 million world records from Nintendo's online service totaling around 215MB of data. The dataset was c... | TheGreatRambler/mm2_user_world_record | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
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"source_datasets:original",
"language:multilingual",
"license:cc-b... | 2022-09-18T19:18:54+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Mak... | 2022-11-11T08:03:39+00:00 | [] | [
"multilingual"
] | TAGS
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================================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 user world records dataset consists of 15.3 million world records from Nintendo's online service totaling around 215MB of data. The dataset was c... | [
"### How to use it\n\n\nThe Mario Maker 2 user world records dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique world record in the level denoted by th... | [
"TAGS\n#task_categories-other #task_categories-object-detection #task_categories-text-retrieval #task_categories-token-classification #task_categories-text-generation #multilinguality-multilingual #size_categories-10M<n<100M #source_datasets-original #language-multilingual #license-cc-by-nc-sa-4.0 #text-mining #reg... | [
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# Mario Maker 2 super worlds
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 super worlds dataset consists of 289 thousand super worlds from Nintendo's online service totaling around 13.5GB of data. The dataset was created using... | TheGreatRambler/mm2_world | [
"task_categories:other",
"task_categories:object-detection",
"task_categories:text-retrieval",
"task_categories:token-classification",
"task_categories:text-generation",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
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"license:cc-by... | 2022-09-18T19:19:10+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Make... | 2022-11-11T08:08:15+00:00 | [] | [
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==========================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 super worlds dataset consists of 289 thousand super worlds from Nintendo's online service totaling around 13.5GB of data. The dataset was created using the s... | [
"### How to use it\n\n\nThe Mario Maker 2 super worlds dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a unique super world denoted by the 'world\\_id' creat... | [
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acd1e2f4c3e10eeb4315d04d44371cf531e31bcf |
# Mario Maker 2 super world levels
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 super world levels dataset consists of 3.3 million super world levels from Nintendo's online service and adds onto `TheGreatRambler/mm2_world`. T... | TheGreatRambler/mm2_world_levels | [
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"license:cc-by-... | 2022-09-18T19:19:22+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Maker... | 2022-11-11T08:03:22+00:00 | [] | [
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| Mario Maker 2 super world levels
================================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 super world levels dataset consists of 3.3 million super world levels from Nintendo's online service and adds onto 'TheGreatRambler/mm2\_world'. ... | [
"### How to use it\n\n\nYou can load and iterate through the dataset with the following code:\n\n\nEach row is a level within a super world owned by player 'pid' that is denoted by 'data\\_id'. Each level contains some number of ninjis 'ninjis', a rough metric for their popularity.\n\n\nData Structure\n------------... | [
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14d9b109a50274f2a278c22c01af335da683965a |
# Mario Maker 2 ninjis
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 ninjis dataset consists of 3 million ninji replays from Nintendo's online service totaling around 12.5GB of data. The dataset was created using the self-host... | TheGreatRambler/mm2_ninji | [
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"license:cc-by-... | 2022-09-18T19:19:35+00:00 | {"language": ["multilingual"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["other", "object-detection", "text-retrieval", "token-classification", "text-generation"], "task_ids": [], "pretty_name": "Mario Maker... | 2022-11-11T08:05:22+00:00 | [] | [
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| Mario Maker 2 ninjis
====================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 ninjis dataset consists of 3 million ninji replays from Nintendo's online service totaling around 12.5GB of data. The dataset was created using the self-hosted Mario Mak... | [
"### How to use it\n\n\nThe Mario Maker 2 ninjis dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of 'datasets'. You can load and iterate through the dataset with the following code:\n\n\nEach row is a ninji run in the level denoted by the 'data\\_id' done by ... | [
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b5f8a698461f84a65ae06ce54705913b6e0928b8 |
# Mario Maker 2 ninji levels
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
## Dataset Description
The Mario Maker 2 ninji levels dataset consists of 21 ninji levels from Nintendo's online service and aids `TheGreatRambler/mm2_ninji`. The dataset was created using the... | TheGreatRambler/mm2_ninji_level | [
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| Mario Maker 2 ninji levels
==========================
Part of the Mario Maker 2 Dataset Collection
Dataset Description
-------------------
The Mario Maker 2 ninji levels dataset consists of 21 ninji levels from Nintendo's online service and aids 'TheGreatRambler/mm2\_ninji'. The dataset was created using the self... | [
"### How to use it\n\n\nYou can load and iterate through the dataset with the following code:\n\n\nEach row is a ninji level denoted by 'data\\_id'. 'TheGreatRambler/mm2\\_ninji' refers to these levels. 'level\\_data' is the same format used in 'TheGreatRambler/mm2\\_level' and the provided Kaitai struct file and '... | [
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448fdb1bc7b2d09e46881c4541a14d796a3d41e8 |
# Dataset Card for "yerevann/coco-karpathy"
The Karpathy split of COCO for image captioning.
| yerevann/coco-karpathy | [
"task_categories:image-to-text",
"task_ids:image-captioning",
"language:en",
"coco",
"image-captioning",
"region:us"
] | 2022-09-18T21:50:19+00:00 | {"language": ["en"], "task_categories": ["image-to-text"], "task_ids": ["image-captioning"], "pretty_name": "COCO Karpathy split", "tags": ["coco", "image-captioning"]} | 2022-10-31T11:24:01+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #task_ids-image-captioning #language-English #coco #image-captioning #region-us
|
# Dataset Card for "yerevann/coco-karpathy"
The Karpathy split of COCO for image captioning.
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] |
8a86b23b745d215c4dbbb058f0c41185c7fab734 |
# Dataset Card for SOAP
| jamil/soap_notes | [
"license:apache-2.0",
"region:us"
] | 2022-09-18T23:54:25+00:00 | {"license": "apache-2.0"} | 2022-09-19T00:33:08+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Card for SOAP
| [
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8447c236d6c6bf4986eb3e4330a41d258b727362 |
# Dataset Description
This is a dataset of emotional contexts that was retrieved from the original EmpatheticDialogues (ED) dataset. Respondents were asked to describe an event that was associated with a particular emotion label (i.e. p(event|emotion).
There are 32 emotion labels in total.
There are 19209, 2756, and... | bdotloh/empathetic-dialogues-contexts | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"multilinguality:monolingual",
"language:en",
"region:us"
] | 2022-09-19T04:58:21+00:00 | {"annotations_creators": ["crowdsourced"], "language": ["en"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"]} | 2022-09-21T05:12:44+00:00 | [] | [
"en"
] | TAGS
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|
# Dataset Description
This is a dataset of emotional contexts that was retrieved from the original EmpatheticDialogues (ED) dataset. Respondents were asked to describe an event that was associated with a particular emotion label (i.e. p(event|emotion).
There are 32 emotion labels in total.
There are 19209, 2756, and... | [
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7d5077a33a8336d2f53095765e22cf9987443996 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: morenolq/bart-base-xsum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hug... | autoevaluate/autoeval-eval-xsum-default-ca7304-1504954794 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-19T06:52:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "morenolq/bart-base-xsum", "metrics": ["bertscore"], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "summary"}}} | 2022-09-19T07:01:07+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: morenolq/bart-base-xsum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluato... | [
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95b112abeaf5782f4326d869e1081816556a5d16 |
A sampled version of the [CCMatrix](https://huggingface.co/datasets/yhavinga/ccmatrix) dataset for the German-English pair, containing 1M train entries. | j0hngou/ccmatrix_de-en | [
"language:en",
"language:de",
"region:us"
] | 2022-09-19T12:08:48+00:00 | {"language": ["en", "de"]} | 2022-09-26T15:35:03+00:00 | [] | [
"en",
"de"
] | TAGS
#language-English #language-German #region-us
|
A sampled version of the CCMatrix dataset for the German-English pair, containing 1M train entries. | [] | [
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0f9bec2b0fbbfc8643ae5442903d63dd701ff51b |
# Dataset Card for Literary fictions of Gallica
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structur... | biglam/gallica_literary_fictions | [
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"region:us"
] | 2022-09-19T12:17:09+00:00 | {"language": "fr", "license": "cc0-1.0", "multilinguality": ["monolingual"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Literary fictions of Gallica"} | 2022-09-19T12:58:06+00:00 | [] | [
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#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #source_datasets-original #language-French #license-cc0-1.0 #region-us
|
# Dataset Card for Literary fictions of Gallica
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Ann... | [
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559e6e78c86a66b7353e87f78b2eaf5b487e0744 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: morenolq/bart-base-xsum
* Dataset: xsum
* Config: default
* Split: validation
To run new evaluation jobs, vis... | autoevaluate/autoeval-eval-xsum-default-d5c7a7-1507154810 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-19T12:37:20+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "morenolq/bart-base-xsum", "metrics": ["bertscore"], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "validation", "col_mapping": {"text": "document", "target": "summa... | 2022-09-19T12:45:50+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: morenolq/bart-base-xsum
* Dataset: xsum
* Config: default
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic model ev... | [
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8e4813d4198fd5da65377f6757b4a420c8a6eb5b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: navteca/roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalu... | autoevaluate/autoeval-eval-squad_v2-squad_v2-552ce2-1507654811 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: navteca/roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's aut... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: navteca/roberta-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: ... |
76fb3cdf9ae1951b111ed14ef24d58d24c39d46c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: morenolq/distilbert-base-cased-emotion
* Dataset: emotion
* Config: default
* Split: test
T... | autoevaluate/autoeval-eval-emotion-default-2be497-1508254837 | [
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] | 2022-09-19T13:17:15+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "morenolq/distilbert-base-cased-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "ta... | 2022-09-19T13:17:42+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: morenolq/distilbert-base-cased-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hug... | [
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2c0ff370938b073a6e0e894789f0697c701e4f3d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: morenolq/distilbert-base-cased-emotion
* Dataset: emotion
* Config: default
* Split: validat... | autoevaluate/autoeval-eval-emotion-default-f266e6-1508354838 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: morenolq/distilbert-base-cased-emotion
* Dataset: emotion
* Config: default
* Split: validation
To run new evaluation jobs, vis... | [
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675263df9cdf386ecb16016c1434cf90108914d5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/bert-base-uncased-rte
* Dataset: glue
* Config: rte
* Split: validation
To run new eva... | autoevaluate/autoeval-eval-glue-rte-157f21-1508454839 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-19T13:17:23+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "JeremiahZ/bert-base-uncased-rte", "metrics": [], "dataset_name": "glue", "dataset_config": "rte", "dataset_split": "validation", "col_mapping": {"text1": "sentence1", "text2":... | 2022-09-19T13:17:54+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/bert-base-uncased-rte
* Dataset: glue
* Config: rte
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
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a4302a5208a75bd5eafff39c433c0073cf7b649e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/bert-base-uncased-qqp
* Dataset: glue
* Config: qqp
* Split: validation
To run new eva... | autoevaluate/autoeval-eval-glue-qqp-b620ce-1508754840 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-19T13:17:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "JeremiahZ/bert-base-uncased-qqp", "metrics": [], "dataset_name": "glue", "dataset_config": "qqp", "dataset_split": "validation", "col_mapping": {"text1": "question1", "text2":... | 2022-09-19T13:20:34+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/bert-base-uncased-qqp
* Dataset: glue
* Config: qqp
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To run new evaluation jobs, visit Hugging Face's a... | [
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e16f043921522ca6271d5174bfdc22889c7b446e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/bert-base-uncased-mnli
* Dataset: glue
* Config: mnli_matched
* Split: validation
To r... | autoevaluate/autoeval-eval-glue-mnli_matched-c9e0cb-1508854842 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/bert-base-uncased-mnli
* Dataset: glue
* Config: mnli_matched
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To run new evaluation jobs, visit Huggin... | [
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400174f5e633d5a97f599969362628c5b028794f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: JeremiahZ/roberta-base-cola
* Dataset: glue
* Config: cola
* Split: validation
To run new e... | autoevaluate/autoeval-eval-glue-cola-b911f0-1508954843 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-19T13:48:55+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "multi_class_classification", "model": "JeremiahZ/roberta-base-cola", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "cola", "dataset_split": "validation", "col_mapping": {"text": "se... | 2022-09-19T13:49:27+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: JeremiahZ/roberta-base-cola
* Dataset: glue
* Config: cola
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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9509b6529ed2a785841e86bf1637353291e8ddab | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: JeremiahZ/bert-base-uncased-cola
* Dataset: glue
* Config: cola
* Split: validation
To run ... | autoevaluate/autoeval-eval-glue-cola-b911f0-1508954844 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: JeremiahZ/bert-base-uncased-cola
* Dataset: glue
* Config: cola
* Split: validation
To run new evaluation jobs, visit Hugging F... | [
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5b7b1e9a55331e18543b14c0ba25aaf38985337a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/roberta-base-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evalua... | autoevaluate/autoeval-eval-glue-mrpc-9038ab-1509054845 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
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bf06c398b669a4cb58387c071e8e4bf84eefd64f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/bert-base-uncased-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new e... | autoevaluate/autoeval-eval-glue-mrpc-9038ab-1509054846 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/bert-base-uncased-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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e992f84dd6d471143439e0a111e3b9d73ebc5f3a |
GAMa (Ground-video to Aerial-image Matching) dataset
Download at:
https://www.crcv.ucf.edu/data1/GAMa/
# GAMa: Cross-view Video Geo-localization
by [Shruti Vyas](https://scholar.google.com/citations?user=15YqUQUAAAAJ&hl=en); [Chen Chen](https://scholar.google.com/citations?user=TuEwcZ0AAAAJ&hl=en); [Mubarak Shah](... | svyas23/GAMa | [
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#license-other #region-us
|
GAMa (Ground-video to Aerial-image Matching) dataset
Download at:
URL
# GAMa: Cross-view Video Geo-localization
by Shruti Vyas; Chen Chen; Mubarak Shah
code at: URL
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# Dataset Card for G-KOMET
### Dataset Summary
G-KOMET 1.0 is a corpus of metaphorical expressions in spoken Slovene language, covering around 50,000 lexical units across 5695 sentences. The corpus contains samples from the Gos corpus of spoken Slovene and includes a balanced set of transcriptions of informative, ed... | cjvt/gkomet | [
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... | 2022-09-19T17:00:53+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["sl"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["token-classification"], "task_ids": [], "pretty_name": "G-KOMET", "tags": ["... | 2022-11-27T16:40:19+00:00 | [] | [
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# Dataset Card for G-KOMET
### Dataset Summary
G-KOMET 1.0 is a corpus of metaphorical expressions in spoken Slovene language, covering around 50,000 lexical units across 5695 sentences. The corpus contains samples from the Gos corpus of spoken Slovene and includes a balanced set of transcriptions of informative, ed... | [
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67f7da031721a14cc391c7fa7c8d96411282d8a3 | **(Jan. 8 2024) Test set labels are released**
# Dataset Card for SLUE
## Table of Contents
- [Dataset Card for SLUE](#dataset-card-for-slue)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#... | asapp/slue | [
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"language_creators:found",... | 2022-09-19T17:07:59+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc0-1.0", "cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition", "audio-classification", "tex... | 2024-01-12T05:15:39+00:00 | [
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Dataset Card for SLUE
=====================
Table of Contents
-----------------
* Dataset Card for SLUE
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
* Automatic Speech Recognition (ASR)
* Named Entity Recognit... | [
"### Dataset Summary\n\n\nWe introduce the Spoken Language Understanding Evaluation (SLUE) benchmark. The goals of our work are to\n\n\n* Track research progress on multiple SLU tasks\n* Facilitate the development of pre-trained representations by providing fine-tuning and eval sets for a variety of SLU tasks\n* Fo... | [
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ff88393aa85808a6172b21e19e27a40ab882a734 | Initial annotated dataset derived from `ImageIN/IA_unlabelled` | ImageIN/ImageIn_annotations | [
"task_categories:image-classification",
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c76f26430961c9cb3dd896809d3b303225bd6003 | A piece of Federico García Lorca's body of work. | smkerr/lorca | [
"region:us"
] | 2022-09-19T19:00:37+00:00 | {} | 2022-09-19T19:02:06+00:00 | [] | [] | TAGS
#region-us
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9fbd8304e81d1eadc8eda9738dec458621f25f79 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: Tristan/opt-30b-copy
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoeva... | autoevaluate/autoeval-eval-autoevaluate__zero-shot-classification-sample-autoevalu-1f3143-1511754885 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-19T19:30:18+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/zero-shot-classification-sample"], "eval_info": {"task": "text_zero_shot_classification", "model": "Tristan/opt-30b-copy", "metrics": [], "dataset_name": "autoevaluate/zero-shot-classification-sample", "dataset_config": "autoevaluat... | 2022-09-19T20:08:28+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: Tristan/opt-30b-copy
* Dataset: autoevaluate/zero-shot-classification-sample
* Config: autoevaluate--zero-shot-classification-samp... | [
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084060f16b46f3165318f760b2339208b19a0bde |
# Dataset Card for ASQA
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | din0s/asqa | [
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"language:en",
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"l... | 2022-09-19T21:25:51+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|ambig_qa"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa"], "... | 2022-09-20T15:14:54+00:00 | [
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=====================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Additional Information
+ Contributions
Dataset Descri... | [
"### Dataset Summary\n\n\nASQA is the first long-form question answering dataset that focuses on ambiguous factoid questions. Different from previous long-form answers datasets, each question is annotated with both long-form answers and extractive question-answer pairs, which should be answerable by the generated p... | [
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c5a4721b5d4ff814a1af2020df60566a313ea67b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: Tristan/opt-30b-copy
* Dataset: Tristan/zero-shot-classification-large-test
* Config: Tristan-... | autoevaluate/autoeval-eval-Tristan__zero-shot-classification-large-test-Tristan__z-8b146c-1511954902 | [
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"evaluation",
"region:us"
] | 2022-09-19T21:26:19+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Tristan/zero-shot-classification-large-test"], "eval_info": {"task": "text_zero_shot_classification", "model": "Tristan/opt-30b-copy", "metrics": [], "dataset_name": "Tristan/zero-shot-classification-large-test", "dataset_config": "Tristan--zero... | 2022-09-21T04:08:06+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: Tristan/opt-30b-copy
* Dataset: Tristan/zero-shot-classification-large-test
* Config: Tristan--zero-shot-classification-large-test... | [
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baa096440c81620325d5c6f774eacb668dbd1db8 | - 사회과학-en-ko 번역 말뭉치
| bongsoo/social_science_en_ko | [
"language:ko",
"license:apache-2.0",
"region:us"
] | 2022-09-20T03:45:54+00:00 | {"language": ["ko"], "license": "apache-2.0"} | 2022-10-04T23:09:30+00:00 | [] | [
"ko"
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#language-Korean #license-apache-2.0 #region-us
| - 사회과학-en-ko 번역 말뭉치
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8ffecf6e6c61389f9c02f13f3875d810ff506fa3 |
- 뉴스&일상대화 en-ko 번역 말뭉치 | bongsoo/news_talk_en_ko | [
"language:ko",
"license:apache-2.0",
"region:us"
] | 2022-09-20T04:10:56+00:00 | {"language": ["ko"], "license": "apache-2.0"} | 2022-10-04T23:09:50+00:00 | [] | [
"ko"
] | TAGS
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|
- 뉴스&일상대화 en-ko 번역 말뭉치 | [] | [
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d356ef19a4eb287e88a51d07a56b73ba88c7f188 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | ai4bharat/IndicCOPA | [
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"task_ids:multiple-choice-qa",
"annotations_creators:expert-generated",
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"language:as",
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"language:en",
"language:go... | 2022-09-20T07:18:35+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["as", "bn", "en", "gom", "gu", "hi", "kn", "mai", "ml", "mr", "ne", "or", "pa", "sa", "sat", "sd", "ta", "te", "ur"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "so... | 2022-12-15T11:34:32+00:00 | [] | [
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# Dataset Card for [Dataset Name]
## Table of Contents
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- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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- Dataset Structure
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- Data Splits
- Dataset Creation
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fcbf84785bd5d498892cf01a322a92bb1a17f9bb | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP14
* Dataset: kmfoda/booksum
* Config: kmfoda--books... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-373400-1514054915 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-20T08:57:23+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP14", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col... | 2022-09-21T14:33:56+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP14
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluat... | [
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97139a9fbab6912b3fd89604427d4304d20847e6 |
# Dataset Card for RSDO4 en-sl parallel corpus
### Dataset Summary
The RSDO4 parallel corpus of English-Slovene and Slovene-English translation pairs was collected as part of work package 4 of the Slovene in the Digital Environment project. It contains texts collected from public institutions and texts submitted by ... | cjvt/rsdo4_en_sl | [
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"multilinguality:translation",
"size_categories:100K<n<1M",
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"language:sl... | 2022-09-20T14:23:40+00:00 | {"annotations_creators": ["expert-generated", "found"], "language_creators": ["crowdsourced"], "language": ["en", "sl"], "license": ["cc-by-sa-4.0"], "multilinguality": ["translation"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["translation", "text2text-generation", "text-generation"]... | 2022-09-20T16:38:33+00:00 | [] | [
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# Dataset Card for RSDO4 en-sl parallel corpus
### Dataset Summary
The RSDO4 parallel corpus of English-Slovene and Slovene-English translation pairs was collected as part of work package 4 of the Slovene in the Digital Environment project. It contains texts collected from public institutions and texts submitted by ... | [
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62c78627f3072a1454fa0cb0184737cafe5e4198 |
# HumanEval-X
## Dataset Description
[HumanEval-X](https://github.com/THUDM/CodeGeeX) is a benchmark for evaluating the multilingual ability of code generative models. It consists of 820 high-quality human-crafted data samples (each with test cases) in Python, C++, Java, JavaScript, and Go, and can be used for variou... | THUDM/humaneval-x | [
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"language:code",
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"region:us"
] | 2022-09-20T15:23:53+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "... | 2022-10-25T05:08:38+00:00 | [] | [
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|
# HumanEval-X
## Dataset Description
HumanEval-X is a benchmark for evaluating the multilingual ability of code generative models. It consists of 820 high-quality human-crafted data samples (each with test cases) in Python, C++, Java, JavaScript, and Go, and can be used for various tasks, such as code generation and ... | [
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09a7ed9517756e50b961dd44c17d91b2a9292bb0 |
# pytorch-image-models metrics
This dataset contains metrics about the huggingface/pytorch-image-models package.
Number of repositories in the dataset: 3615
Number of packages in the dataset: 89
## Package dependents
This contains the data available in the [used-by](https://github.com/huggingface/pytorch-image-mod... | open-source-metrics/pytorch-image-models-dependents | [
"license:apache-2.0",
"github-stars",
"region:us"
] | 2022-09-20T17:47:36+00:00 | {"license": "apache-2.0", "pretty_name": "pytorch-image-models metrics", "tags": ["github-stars"], "dataset_info": {"features": [{"name": "name", "dtype": "null"}, {"name": "stars", "dtype": "null"}, {"name": "forks", "dtype": "null"}], "splits": [{"name": "package"}, {"name": "repository"}], "download_size": 1798, "da... | 2024-02-16T20:19:14+00:00 | [] | [] | TAGS
#license-apache-2.0 #github-stars #region-us
| pytorch-image-models metrics
============================
This dataset contains metrics about the huggingface/pytorch-image-models package.
Number of repositories in the dataset: 3615
Number of packages in the dataset: 89
Package dependents
------------------
This contains the data available in the used-by
tab ... | [
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 18 packages that have more than 1000 stars.\n\n\nThere are 39 repositories that have more than 1000 stars.\n\n\nThe top 10 in each category are the following:\n\n\n*Package*\n\n\nhuggin... | [
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f0f93f25d29f82efdd73689b88b36c8fc85d4e41 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15
* Dataset: samsum
* Config: samsum
* Split: test
... | autoevaluate/autoeval-eval-samsum-samsum-431a89-1518654983 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-20T21:48:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dial... | 2022-09-20T22:13:17+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit H... | [
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5a6a80994c21d0d9b4f87e828633e9aa549a4a8c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP14
* Dataset: samsum
* Config: samsum
* Split: test
... | autoevaluate/autoeval-eval-samsum-samsum-7e8d42-1518754984 | [
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"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP14
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit H... | [
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850f60cb653353971f22827cf61e6b1d1a2a53a5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15
* Dataset: kmfoda/booksum
* Config: kmfoda--books... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-61a81c-1518854985 | [
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"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo ... | [
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bc5a20bfe51eff9d9e3e6bfe9d02ccb09cd15f72 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15
* Dataset: billsum
* Config: default
* Split: tes... | autoevaluate/autoeval-eval-billsum-default-4428b0-1518954986 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit... | [
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eb2885f64a337ab00115293d9856a96f80b30d40 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation ... | autoevaluate/autoeval-eval-samsum-samsum-b534aa-1519254997 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-20T22:47:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/pegasus-x-large-book-summary", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "target": "summa... | 2022-09-20T23:18:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic... | [
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ae75e6b3d921b85c9a7f5510181d1a32fc140c3c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: billsum
* Config: default
* Split: test
To run new evaluatio... | autoevaluate/autoeval-eval-billsum-default-dd03f7-1519455003 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T01:14:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["billsum"], "eval_info": {"task": "summarization", "model": "pszemraj/pegasus-x-large-book-summary", "metrics": [], "dataset_name": "billsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "summar... | 2022-09-21T16:34:50+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automat... | [
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84e95341fadae3179e6f9418e04ab530f0411814 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run ... | autoevaluate/autoeval-eval-launch__gov_report-plain_text-4ad6c8-1519755004 | [
"autotrain",
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] | 2022-09-21T01:15:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["launch/gov_report"], "eval_info": {"task": "summarization", "model": "pszemraj/pegasus-x-large-book-summary", "metrics": [], "dataset_name": "launch/gov_report", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping": {"text": "d... | 2022-09-21T06:37:56+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: launch/gov_report
* Config: plain_text
* Split: test
To run new evaluation jobs, visit Hugging F... | [
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8fcbf087a8ba256d1d8ad78d5474126481b43e73 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: big_patent
* Config: y
* Split: test
To run new evaluation j... | autoevaluate/autoeval-eval-big_patent-y-b4cccf-1519855005 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T01:15:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["big_patent"], "eval_info": {"task": "summarization", "model": "pszemraj/pegasus-x-large-book-summary", "metrics": [], "dataset_name": "big_patent", "dataset_config": "y", "dataset_split": "test", "col_mapping": {"text": "description", "target": ... | 2022-09-22T05:24:35+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: big_patent
* Config: y
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic ... | [
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94ff6a5935f6cd3ff8a915f76e6852c4a3667a7f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2
* Dataset: samsum
* Config: samsum
* Split: test
To r... | autoevaluate/autoeval-eval-samsum-samsum-a5c306-1520055006 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Huggin... | [
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169d0612fccaa4dd7bff2fa33ab533b40aeef69e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2
* Dataset: samsum
* Config: samsum
* Split: test
To r... | autoevaluate/autoeval-eval-samsum-samsum-bf100b-1520255007 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T01:15:16+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2", "metrics": ["rouge"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "di... | 2022-09-21T01:23:16+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Huggin... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2\n* Dataset: samsum\n* Config: samsum\n* Split: test\n\nTo run new evaluation job... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2\n* Dataset: samsum\n* Config: sa... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2\n* Dataset: samsum\n* Config:... |
523d566065cd18bc42172c82f9ffa933eaf29b05 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: Tristan/opt-66b-copy
* Dataset: Tristan/zero_shot_classification_test
* Config: Tristan--zero_... | autoevaluate/autoeval-eval-Tristan__zero_shot_classification_test-Tristan__zero_sh-c10c5c-1520355008 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T01:23:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Tristan/zero_shot_classification_test"], "eval_info": {"task": "text_zero_shot_classification", "model": "Tristan/opt-66b-copy", "metrics": [], "dataset_name": "Tristan/zero_shot_classification_test", "dataset_config": "Tristan--zero_shot_classi... | 2022-09-21T02:16:17+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: Tristan/opt-66b-copy
* Dataset: Tristan/zero_shot_classification_test
* Config: Tristan--zero_shot_classification_test
* Split: te... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: Tristan/opt-66b-copy\n* Dataset: Tristan/zero_shot_classification_test\n* Config: Tristan--zero_shot_classification_test... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: Tristan/opt-66b-copy\n* Dataset: Tristan/zero_shot_classification_tes... |
5d3309b8aa10d7cf28752a9589c8a8a99325e069 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: SebastianS/distilbert-base-uncased-finetuned-squad-d5716d28
* Dataset: squad_v2
* Config: squad_v2
* Spli... | autoevaluate/autoeval-eval-squad_v2-squad_v2-e4ddf6-1520555010 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T03:30:06+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "SebastianS/distilbert-base-uncased-finetuned-squad-d5716d28", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "c... | 2022-09-21T03:32:36+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: SebastianS/distilbert-base-uncased-finetuned-squad-d5716d28
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: SebastianS/distilbert-base-uncased-finetuned-squad-d5716d28\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: SebastianS/distilbert-base-uncased-finetuned-squad-d5716d28\n* Dataset: squad_v2\n*... | [
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f9fb35f4134e32b9c8100199d949398fd6d08a5f | We partition the earnings22 dataset at https://huggingface.co/datasets/anton-l/earnings22_baseline_5_gram by `source_id`:
Validation: 4420696 4448760 4461799 4469836 4473238 4482110
Test: 4432298 4450488 4470290 4479741 4483338 4485244
Train: remainder
Official script for processing these splits will be r... | sanchit-gandhi/earnings22_split | [
"region:us"
] | 2022-09-21T09:35:49+00:00 | {} | 2022-09-23T08:44:26+00:00 | [] | [] | TAGS
#region-us
| We partition the earnings22 dataset at URL by 'source_id':
Validation: 4420696 4448760 4461799 4469836 4473238 4482110
Test: 4432298 4450488 4470290 4479741 4483338 4485244
Train: remainder
Official script for processing these splits will be released shortly.
| [] | [
"TAGS\n#region-us \n"
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6
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16c96aacfd2f858c7577cd1944a8e67992036e8c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To ru... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-e42237-1523455078 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T10:41:40+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/pegasus-x-large-book-summary", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mapping": {"text": "ch... | 2022-09-21T17:28:50+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-x-large-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit Hugging... | [
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7c1cc64b8570c0d0882b285941fd625c4bbb886c |
# 1 Source
Source: https://github.com/alibaba-research/ChineseBLUE
# 2 Definition of the tagset
```python
tag_set = [
'B_手术',
'I_疾病和诊断',
'B_症状',
'I_解剖部位',
'I_药物',
'B_影像检查',
'B_药物',
'B_疾病和诊断',
'I_影像检查',
'I_手术',
'B_解剖部位',
'O',
'B_实验室检验',
'I_症状',
'I_实验室检验'
]
tag2id = lambda tag: tag_set.index(tag)
id2t... | Adapting/chinese_biomedical_NER_dataset | [
"license:mit",
"region:us"
] | 2022-09-21T11:52:05+00:00 | {"license": "mit"} | 2022-09-21T17:21:15+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# 1 Source
Source: URL
# 2 Definition of the tagset
# 3 Citation
To use this dataset in your work please cite:
Ningyu Zhang, Qianghuai Jia, Kangping Yin, Liang Dong, Feng Gao, Nengwei Hua. Conceptualized Representation Learning for Chinese Biomedical Text Mining
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] |
51d9269a2818c7fe39b9380efc9a62f40a8e5b2e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-bf74a8-1524255094 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T14:21:44+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text... | 2022-09-21T17:43:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit ... | [
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662fce7ab3d2e18087973b1f15470b1dfaf81f9e |
# Dataset Card for TellMeWhy
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | StonyBrookNLP/tellmewhy | [
"task_categories:text2text-generation",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
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"language:en",
"license:unknown",
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] | 2022-09-21T15:11:29+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids": [], "pretty_name": "TellMeWhy"} | 2024-01-24T21:12:22+00:00 | [] | [
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| Dataset Card for TellMeWhy
==========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotatio... | [
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0af0ec66aa94b834cd671169833768ef6063285e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: mathemakitten/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_dev
* Config: mathemak... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev-mathemakitte-169e67-1524755111 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T16:28:14+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev"], "eval_info": {"task": "text_zero_shot_classification", "model": "mathemakitten/opt-125m", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev", "dataset_config": "mathemakitten--... | 2022-09-21T16:48:48+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: mathemakitten/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_dev
* Config: mathemakitten--winobias_antistereotype_dev
*... | [
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d27fa3d9aea71a1de1cfc280bb534887b05f510d | This dataset consists of Pubchem molecules downloaded from: https://ftp.ncbi.nlm.nih.gov/pubchem/Compound/CURRENT-Full/
There are in total ~85M compounds for training, with an additional ~10M held out for validation and testing. | zpn/pubchem_selfies | [
"license:openrail",
"region:us"
] | 2022-09-21T18:51:06+00:00 | {"license": "openrail"} | 2022-10-04T15:15:19+00:00 | [] | [] | TAGS
#license-openrail #region-us
| This dataset consists of Pubchem molecules downloaded from: URL
There are in total ~85M compounds for training, with an additional ~10M held out for validation and testing. | [] | [
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8852346e4b76d1f815e1b272c840d45d7dc08ea8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: mathemakitten/winobias_antistereotype_dev
* C... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev-mathemakitte-f407ed-1527355152 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-21T21:30:08+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_dev"], "eval_info": {"task": "text_zero_shot_classification", "model": "autoevaluate/zero-shot-classification", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_dev", "dataset_config": "... | 2022-09-21T21:50:42+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: mathemakitten/winobias_antistereotype_dev
* Config: mathemakitten--winobias_antis... | [
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3af942a32b98c8e16043ec591f92f5c368ed2953 |
# Avatar Dataset
Raw data stack of 18,000 sample images created for [Avatar AI](https://t.me/AvatarAIBot).
## Features
- 256X256 Medium Quality
- Micro Bloom
| phaticusthiccy/avatar | [
"region:us"
] | 2022-09-21T21:30:24+00:00 | {} | 2022-09-21T21:40:14+00:00 | [] | [] | TAGS
#region-us
|
# Avatar Dataset
Raw data stack of 18,000 sample images created for Avatar AI.
## Features
- 256X256 Medium Quality
- Micro Bloom
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dc30b042b8caa6fc0cdbe7511e1867919f10fd80 |
# How Resilient are Imitation Learning Methods to Sub-Optimal Experts?
## Related Work
Trajectories used in [How Resilient are Imitation Learning Methods to Sub-Optimal Experts?]()
The code that uses this data is on GitHub: https://github.com/NathanGavenski/How-resilient-IL-methods-are
# Structure
These trajectories... | NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts | [
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"Imitation Learning",
"Expert Trajectories",
"Classic Control",
"region:us"
] | 2022-09-21T22:41:37+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["expert-generated"], "language": [], "license": ["mit"], "multilinguality": [], "size_categories": ["100B<n<1T"], "source_datasets": ["original"], "task_categories": ["other"], "task_ids": [], "pretty_name": "How Resilient are Imitation Learning Meth... | 2022-10-25T13:48:38+00:00 | [] | [] | TAGS
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|
# How Resilient are Imitation Learning Methods to Sub-Optimal Experts?
## Related Work
Trajectories used in [How Resilient are Imitation Learning Methods to Sub-Optimal Experts?]()
The code that uses this data is on GitHub: URL
# Structure
These trajectories are formed by using Stable Baselines.
Each file is a dicti... | [
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aba349e6b3a4d06820576289db881e37f2d5c5e3 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: ARTeLab/it5-summarization-fanpage
* Dataset: scan
* Config: simple
* Split: train
To run new evaluation jobs,... | autoevaluate/autoeval-eval-scan-simple-0b9bd3-1528755178 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-22T03:23:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["scan"], "eval_info": {"task": "summarization", "model": "ARTeLab/it5-summarization-fanpage", "metrics": [], "dataset_name": "scan", "dataset_config": "simple", "dataset_split": "train", "col_mapping": {"text": "commands", "target": "actions"}}} | 2022-09-22T03:29:45+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: ARTeLab/it5-summarization-fanpage
* Dataset: scan
* Config: simple
* Split: train
To run new evaluation jobs, visit Hugging Face's automatic mode... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: ARTeLab/it5-summarization-fanpage\n* Dataset: scan\n* Config: simple\n* Split: train\n\nTo run new evaluation jobs, visit Hugging Face's... | [
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8381f2d7cd133cc20378a943ae802a21e0dd1a11 | # AutoTrain Dataset for project: nllb_600_ft
## Dataset Description
This dataset has been automatically processed by AutoTrain for project nllb_600_ft.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
... | mehr4n-m/autotrain-data-nllb_600_ft | [
"region:us"
] | 2022-09-22T04:51:54+00:00 | {"task_categories": ["conditional-text-generation"]} | 2022-09-22T04:54:15+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: nllb\_600\_ft
============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project nllb\_600\_ft.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----------... | [
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15477fbdfae891174be78e6285353d67d3b712cb |
# Dataset Card for ssj500k
**Important**: there exists another HF implementation of the dataset ([classla/ssj500k](https://huggingface.co/datasets/classla/ssj500k)), but it seems to be more narrowly focused. **This implementation is designed for more general use** - the CLASSLA version seems to expose only the specif... | cjvt/ssj500k | [
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"size_categ... | 2022-09-22T05:31:03+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found", "expert-generated"], "language": ["sl"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K", "10K<n<100K"], "source_datasets": [], "task_categories": ["token-classification"], "task_ids": ["name... | 2022-12-09T08:58:50+00:00 | [] | [
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# Dataset Card for ssj500k
Important: there exists another HF implementation of the dataset (classla/ssj500k), but it seems to be more narrowly focused. This implementation is designed for more general use - the CLASSLA version seems to expose only the specific training/validation/test annotations used in the CLASSLA... | [
"# Dataset Card for ssj500k\n\nImportant: there exists another HF implementation of the dataset (classla/ssj500k), but it seems to be more narrowly focused. This implementation is designed for more general use - the CLASSLA version seems to expose only the specific training/validation/test annotations used in the C... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #task_ids-part-of-speech #task_ids-lemmatization #task_ids-parsing #annotations_creators-expert-generated #language_creators-found #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #size_categori... | [
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80845435ce686b8a9dbf70a05452fbfb8e09cdd7 |
# Dataset Card for Fashionpedia
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instance... | detection-datasets/fashionpedia | [
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"arxiv:2004.12276",
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| Dataset Card for Fashionpedia
=============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Additional Information
+ Licensing Information
+ Citation ... | [
"### Dataset Summary\n\n\nFashionpedia is a dataset mapping out the visual aspects of the fashion world.\nFrom the paper:\n\n\n\n> \n> Fashionpedia is a new dataset which consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attribu... | [
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871826e171a2cf997849318707f1a6970bc53be6 | This data set is created by randomly sampling 1M documents from [the large supervised proportional mixture](https://github.com/google-research/text-to-text-transfer-transformer/blob/733428af1c961e09ea0b7292ad9ac9e0e001f8a5/t5/data/mixtures.py#L193) from the [T5](https://github.com/google-research/text-to-text-transfer-... | jchenyu/t5_large_supervised_proportional_1M | [
"license:apache-2.0",
"region:us"
] | 2022-09-22T10:21:39+00:00 | {"license": "apache-2.0"} | 2022-09-22T10:35:08+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| This data set is created by randomly sampling 1M documents from the large supervised proportional mixture from the T5 repository.
The code to produce this sampled dataset can be found here. | [] | [
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2db8cc29752777441ed3bed7ca97352171059550 |
# Dataset Card for SemCor
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure... | thesofakillers/SemCor | [
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|
# Dataset Card for SemCor
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
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63aac2cc0638acf1d69b9e1fb0a1b615da567550 |
# Dataset Card for sd-nlp
## Table of Contents
- [Dataset Card for [EMBO/sd-nlp-non-tokenized]](#dataset-card-for-dataset-name)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks... | EMBO/sd-character-level-ner | [
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"license... | 2022-09-22T12:57:31+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-classification", "structure-prediction"], "task_ids": ["multi-cl... | 2022-10-23T05:41:24+00:00 | [] | [
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|
# Dataset Card for sd-nlp
## Table of Contents
- [Dataset Card for [EMBO/sd-nlp-non-tokenized]](#dataset-card-for-dataset-name)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- D... | [
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4a706ce4d084ae644acb17bac7fd0919e493dbeb |
# Dataset Card for Fashionpedia_4_categories
This dataset is a variation of the fashionpedia dataset available [here](https://huggingface.co/datasets/detection-datasets/fashionpedia), with 2 key differences:
- It contains only 4 categories:
- Clothing
- Shoes
- Bags
- Accessories
- New splits were created:
... | detection-datasets/fashionpedia_4_categories | [
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|
# Dataset Card for Fashionpedia_4_categories
This dataset is a variation of the fashionpedia dataset available here, with 2 key differences:
- It contains only 4 categories:
- Clothing
- Shoes
- Bags
- Accessories
- New splits were created:
- Train: 90% of the images
- Val: 5%
- Test 5%
The goal is to ... | [
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2e7fdae1b8a959fa70bdadea392312869a02c744 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, vi... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-6f9c29-1531855204 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-22T13:15:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "facebook/bart-large-cnn", "metrics": ["accuracy"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target"... | 2022-09-22T14:17:52+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model e... | [
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ad46e5b6677b9bd3aa6368c688dac0fc30d5e4ca | Large file storage for the paper `Convergent Representations of Computer Programs in Human and Artificial Neural Networks` by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, and Una-May O'Reilly. The code repository is hosted on [GitHub](https://github.com/ALFA-group/code-representations-ml-bra... | benlipkin/braincode-neurips2022 | [
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#license-mit #region-us
| Large file storage for the paper 'Convergent Representations of Computer Programs in Human and Artificial Neural Networks' by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, and Una-May O'Reilly. The code repository is hosted on GitHub. Check it out!
If you use this work, please cite:
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9623e24bcc3da5ec8a7ab5ed6b194294d6a18358 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tune_sum_V2
* Dataset: samsum
* Config: samsum
* Split: train
To ... | autoevaluate/autoeval-eval-samsum-samsum-61187c-1532155205 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Dataset: samsum
* Config: samsum
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8178d8c493897dc0cf759dd21413c118c0423718 |
[source](https://github.com/wangle1218/KBQA-for-Diagnosis/tree/main/nlu/bert_intent_recognition/data) | nlp-guild/intent-recognition-biomedical | [
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40bdb13a08d7acbfdefc8757fcf8992b7963e060 | # Dataset Card for "gradio-dependents"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | open-source-metrics/gradio-dependents | [
"region:us"
] | 2022-09-22T19:32:03+00:00 | {"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "stars", "dtype": "int64"}, {"name": "forks", "dtype": "int64"}], "splits": [{"name": "package", "num_bytes": 2413, "num_examples": 60}, {"name": "repository", "num_bytes": 185253, "num_examples": 3926}], "download_size": 112345, "dataset_size... | 2024-02-16T20:56:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gradio-dependents"
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aec7dd1b87ea54c67b2823ba5fc09c2b9ede8f6e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: autoevaluate/zero-shot-classification-sample
... | autoevaluate/autoeval-staging-eval-autoevaluate__zero-shot-classification-sample-autoevalu-ded028-2312 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: autoevaluate/zero-shot-classification
* Dataset: autoevaluate/zero-shot-classification-sample
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6abfd356ba7ac593c607c0fee3f8666e39db69a6 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Dataset: autoevaluate/zero-shot-classification-sample
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62eddd2262a1357f9574f59f54a6eac7794e6d07 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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6c3ed433023c6b7830a9f1f957ee511c31bb4ce9 |
## Description
This dataset contains triples of the form "query1", "query2", "label" where labels are mapped as follows
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- ambiguous: -1 | neeva/query2query_evaluation | [
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This dataset contains triples of the form "query1", "query2", "label" where labels are mapped as follows
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69cb9d1035e5bbc34516d9dc016b50aa03e279c7 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Jorgeutd/sagemaker-roberta-base-emotion
* Dataset: emotion
* Config: default
* Split: test
... | autoevaluate/autoeval-eval-emotion-default-98e72c-1536755281 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: Jorgeutd/sagemaker-roberta-base-emotion
* Dataset: emotion
* Config: default
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70ade0819ad2c1f3b42f83e859a489b457f667e8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: autoevaluate/zero-shot-classification
* Dataset: Tristan/zero-shot-classification-large-test
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This repository contains model predictions generated by AutoTrain for the following task and dataset:
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bc0e6e13bd30db81e45194b7e95ba06ea15c40f4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
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* Model: Tristan/opt-66b-copy
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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36753cc241cc2951be69b6e230f3d7a028e5b066 | # Dataset Card for "issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | open-source-metrics/issues | [
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51e1265fc8118bc9273550c3ade7ee4e546e0bb9 |
# Dataset Card for WinoGAViL
- [Dataset Description](#dataset-description)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Colab notebook code for Winogavil evaluation with CLIP](#colab-notebook-code-for-winogavil-evaluation-with-clip)
- [Languages](#languages)
- [Dataset Structure](#... | nlphuji/winogavil | [
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|
# Dataset Card for WinoGAViL
- Dataset Description
- Supported Tasks and Leaderboards
- Colab notebook code for Winogavil evaluation with CLIP
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- Dataset Structure
- Data Fields
- Data Splits
- Dataset Creation
- Considerations for Using the Data
- Licensing Information
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c53614789f63256d057d584d40c10e2fc29212b1 | This dataset is designed to be used in testing multimodal text/image models. It's derived from cm4-10k dataset.
The current splits are: `['100.unique', '100.repeat', '300.unique', '300.repeat', '1k.unique', '1k.repeat', '10k.unique', '10k.repeat']`.
The `unique` ones ensure uniqueness across text entries.
The `repea... | HuggingFaceM4/cm4-synthetic-testing | [
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#license-bigscience-openrail-m #region-us
| This dataset is designed to be used in testing multimodal text/image models. It's derived from cm4-10k dataset.
The current splits are: '['URL', 'URL', 'URL', 'URL', 'URL', 'URL', 'URL', 'URL']'.
The 'unique' ones ensure uniqueness across text entries.
The 'repeat' ones are repeating the same 10 unique records: - th... | [] | [
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17
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3ea47d49efd28082366bf993f3d2cac18e3c153d |
# **Ariel Data Challenge NeurIPS 2022**
Dataset is part of the [**Ariel Machine Learning Data Challenge**](https://www.ariel-datachallenge.space/). The Ariel Space mission is a European Space Agency mission to be launched in 2029. Ariel will observe the atmospheres of 1000 extrasolar planets - planets around other st... | n1ghtf4l1/Ariel-Data-Challenge-NeurIPS-2022 | [
"license:mit",
"region:us"
] | 2022-09-24T04:33:24+00:00 | {"license": "mit"} | 2022-09-24T04:55:23+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Ariel Data Challenge NeurIPS 2022
Dataset is part of the Ariel Machine Learning Data Challenge. The Ariel Space mission is a European Space Agency mission to be launched in 2029. Ariel will observe the atmospheres of 1000 extrasolar planets - planets around other stars - to determine how they are made, how they evo... | [
"# Ariel Data Challenge NeurIPS 2022\n\nDataset is part of the Ariel Machine Learning Data Challenge. The Ariel Space mission is a European Space Agency mission to be launched in 2029. Ariel will observe the atmospheres of 1000 extrasolar planets - planets around other stars - to determine how they are made, how th... | [
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618847c234ccbaafd4238ac3113da2c20b0ef758 | This is a collection of embeddings that I decided to make public. Additionally, it will be where I host any future embeddings I decide to train. | BumblingOrange/Hanks_Embeddings | [
"license:bigscience-bloom-rail-1.0",
"region:us"
] | 2022-09-24T05:01:41+00:00 | {"license": "bigscience-bloom-rail-1.0"} | 2022-09-24T19:32:38+00:00 | [] | [] | TAGS
#license-bigscience-bloom-rail-1.0 #region-us
| This is a collection of embeddings that I decided to make public. Additionally, it will be where I host any future embeddings I decide to train. | [] | [
"TAGS\n#license-bigscience-bloom-rail-1.0 #region-us \n"
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19
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75b8d3472af2587f51d9f635e078372d308b344a |
# Dataset Card for pokemon-icons
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | zishuod/pokemon-icons | [
"task_categories:image-classification",
"license:mit",
"pokemon",
"region:us"
] | 2022-09-24T14:12:08+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": ["mit"], "multilinguality": [], "size_categories": [], "source_datasets": [], "task_categories": ["image-classification"], "task_ids": [], "pretty_name": "pokemon-icons", "tags": ["pokemon"]} | 2022-09-24T14:35:39+00:00 | [] | [] | TAGS
#task_categories-image-classification #license-mit #pokemon #region-us
|
# Dataset Card for pokemon-icons
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Pe... | [
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8f854e3e4f7007134410f2040827bba7bf4c3dd8 | Bundesliga Videos dataset from Kaggle competition: https://www.kaggle.com/competitions/dfl-bundesliga-data-shootout | dbal0503/Bundesliga | [
"region:us"
] | 2022-09-24T17:04:15+00:00 | {} | 2022-09-26T16:48:50+00:00 | [] | [] | TAGS
#region-us
| Bundesliga Videos dataset from Kaggle competition: URL | [] | [
"TAGS\n#region-us \n"
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6
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e3e2a63ffff66b9a9735524551e3818e96af03ee | https://github.com/karolpiczak/ESC-50
The dataset is available under the terms of the Creative Commons Attribution Non-Commercial license.
K. J. Piczak. ESC: Dataset for Environmental Sound Classification. Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, 2015.
[DOI: http://dx.doi.org... | ashraq/esc50 | [
"region:us"
] | 2022-09-24T18:51:49+00:00 | {} | 2023-01-07T08:35:28+00:00 | [] | [] | TAGS
#region-us
| URL
The dataset is available under the terms of the Creative Commons Attribution Non-Commercial license.
K. J. Piczak. ESC: Dataset for Environmental Sound Classification. Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, 2015.
[DOI: URL | [] | [
"TAGS\n#region-us \n"
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6
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afd9400721e19e44f4d28598cb73902558f02bbb | We partition the earnings22 dataset at https://huggingface.co/datasets/anton-l/earnings22_baseline_5_gram by source_id:
Validation: 4420696 4448760 4461799 4469836 4473238 4482110
Test: 4432298 4450488 4470290 4479741 4483338 4485244
Train: remainder
Official script for processing these splits will be released shor... | sanchit-gandhi/earnings22_split_resampled | [
"region:us"
] | 2022-09-24T19:26:46+00:00 | {} | 2022-09-30T14:24:09+00:00 | [] | [] | TAGS
#region-us
| We partition the earnings22 dataset at URL by source_id:
Validation: 4420696 4448760 4461799 4469836 4473238 4482110
Test: 4432298 4450488 4470290 4479741 4483338 4485244
Train: remainder
Official script for processing these splits will be released shortly. | [] | [
"TAGS\n#region-us \n"
] | [
6
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505bb434cc751d0b5158ae82f368a7c63e7a94c6 |
# Dataset Card for Nouns auto-captioned
_Dataset used to train Nouns text to image model_
Automatically generated captions for Nouns from their attributes, colors and items. Help on the captioning script appreciated!
For each row the dataset contains `image` and `text` keys. `image` is a varying size PIL jpeg, and ... | m1guelpf/nouns | [
"task_categories:text-to-image",
"annotations_creators:machine-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-09-25T02:30:09+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["en"], "license": "cc0-1.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "Nouns auto-captioned", "tags": []} | 2022-09-25T05:18:40+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc0-1.0 #region-us
|
# Dataset Card for Nouns auto-captioned
_Dataset used to train Nouns text to image model_
Automatically generated captions for Nouns from their attributes, colors and items. Help on the captioning script appreciated!
For each row the dataset contains 'image' and 'text' keys. 'image' is a varying size PIL jpeg, and ... | [
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"TAGS\n#task_categories-text-to-image #annotations_creators-machine-generated #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-cc0-1.0 #region-us \n",
"# Dataset Card for Nouns auto-captioned\n\n_Dataset used to train Nouns text to image model_\n\nAutoma... | [
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bbfa20fac8083c90012bca77e55acd8aa4d5c824 | # Info
>Try to include embedding info in the commit description (model, author, artist, images, etc)
>Naming: name-object/style | waifu-research-department/embeddings | [
"license:mit",
"region:us"
] | 2022-09-25T05:13:59+00:00 | {"license": "mit"} | 2022-09-29T01:50:05+00:00 | [] | [] | TAGS
#license-mit #region-us
| # Info
>Try to include embedding info in the commit description (model, author, artist, images, etc)
>Naming: name-object/style | [
"# Info\n>Try to include embedding info in the commit description (model, author, artist, images, etc)\n\n>Naming: name-object/style"
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"TAGS\n#license-mit #region-us \n",
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] |
9c9b738f010f33843d0bc076f1024d3ca7191fb4 | # Dataset Card for "Text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Miron/NLP_1 | [
"region:us"
] | 2022-09-25T14:43:59+00:00 | {"dataset_info": {"features": [{"name": "Science artilce's texts", "dtype": "string"}, {"name": "text_length", "dtype": "int64"}, {"name": "TEXT", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 54709956.09102402, "num_examples": 711}, {"name": "validation", "num_bytes": 6155831.908975979, "num_examples"... | 2022-11-10T08:00:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Text"
More Information needed | [
"# Dataset Card for \"Text\"\n\nMore Information needed"
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21f3313de37d60d45fb67a276d63ace9c4a0ac7d |
# Dataset Card for MedNLI
## Dataset Description
- **Homepage:** https://physionet.org/content/mednli/1.0.0/
- **Pubmed:** False
- **Public:** False
- **Tasks:** TE
State of the art models using deep neural networks have become very good in learning an accurate
mapping from inputs to outputs. However, they still ... | bigbio/mednli | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-09-26T02:08:16+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "paperswithcode_id": "mednli", "pretty_name": "MedNLI", "bigbio_language": ["English"], "bigbio_license_short_name": "PHYSIONET_LICENSE_1p5", "homepage": "https://physionet.org/content/mednli/1.0.0/", "bigbio_pubmed": false, "bigbio_public": fal... | 2022-12-22T15:24:43+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for MedNLI
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: TE
State of the art models using deep neural networks have become very good in learning an accurate
mapping from inputs to outputs. However, they still lack generalization capabilities in conditions
that diff... | [
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